Analysis of Zigbee Data Transmission on Wireless Sensor Network Topology
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 9
Abstract
The purpose of this study is to measure the distance in the line of sight environment and to see the data resulted from zigbee transmission by using star, mesh and tree topologies by using delay, throughput and packet loss parameters. The results showed that star topology had the average value which tended to be stable on the measurement of throughput and packet loss because there was no router nodes in star topology so that the accuracy of data delivery was better and it had the smallest delay value because the number of nodes was less than in mesh and tree topology, while the mesh and tree topologies had a poor average value on throughput and packet loss measurements, since the mesh and tree topologies had to go through many processes in which they had to pass through the router node to transmit the data to the coordinator node. However, the mesh and tree topologies had an advantage in which the data delivery could go through more distances than the star topology and they could add more nodes.
Authors and Affiliations
Sigit Soijoyo, Ahmad Ashari
Keywords
Related Articles
- EP ID EP260710
- DOI 10.14569/IJACSA.2017.080921
- Views 95
- Downloads 0
Zigbee Routing Opnet Simulation for a Wireless Sensors Network
Wireless sensor network are nowadays considered as a viable solution for medical application . A zigbee network model is more suitable for battery capacity, bandwidth, and computing limitation for WSN. This paper will pr...
Embedded Feature Selection Method for a Network-Level Behavioural Analysis Detection Model
Feature selection in network-level behavioural analysis studies is used to represent the network datasets of a monitored space. However, recent studies have shown that current behavioural analysis methods at the network-...
A New Uncertainty Measure in Belief Entropy Framework
Belief entropy, which represents the uncertainty measure between several pieces of evidence in the Dempster-Shafer framework, is attracting increasing interest in research. It has been used in many applications and is ma...
Systematic Analysis and Classification of Cardiac Rate Variability using Artificial Neural Network
Electrocardiogram (ECG) is acquisition of electrical activity signals in cardiology. It contains important information about the condition and diseases of heart. An ECG wave, pattern, size, shape and the time interval be...
Big Data Technology-Enabled Analytical Solution for Quality Assessment of Higher Education Systems
Educational Intelligence is a broad area of big data analytical applications that make use of big data technologies for implementation of solutions for education and research. This paper demonstrates the designing, devel...